http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202303 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.001 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.002 n=95) and test set (n=42) with a ratio of 7∶3 by random sampling. Linear correlation threshold and ANOVA were used for feature selection. The selected radiomics features were used to build a machine learning model. A combined model was built using both the traditional and radiomics features. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of the model. Delong test was used to compare the prediction performance of each model. Results Multivariate logistic analysis showed that the enhancement ratio was an independent predictor of mixed infarction mechanism (OR=2.77, P=0.002). The area under the curve (AUC) of the training set and the test set were 0.676 and 0.568, respectively. The machine learning model composed of radiomics features showed good discrimination ability, with an AUC of 0.906 (95% CI: 0.849-0.964) in the training set and 0.828 (95% CI: 0.704-0.951) in the test set. The prediction performance of the combined model was the best, with the AUC of 0.917 (95% CI: 0.864-0.969) and 0.837 (95% CI: 0.708-0.966) in the training and test sets, respectively. Conclusions The radiomics model of intracranial arterial plaque based on 3D HR-MRI can effectively predict the mixed stroke mechanism, which is helpful to take targeted clinical treatment measures. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.003 ^,s Hospital according to the inclusion and exclusion criterias. T1 weighted image, T2 weighted image, T1 weighted contrast enhanced image, fluidattenuated inversion recovery image data of patients were collected, combined with 500 cases of The Cancer Imaging Archive. Two neuroimaging diagnosticians manually outlined the lesion region of interest on MRIs, divided into high-risk group, medium-risk group and low-risk group according to the patient^,s survival time. A 3D convolutional neural network deep learning model was constructed, and the dataset was divided into training set, verification set and test set according to 3∶1∶1 to evaluate the survival risk probability of glioma patients. Results The area under the receiver operating characteristic curve (AUC) of the high, medium and low risk groups in the training set was 0.81, 0.79 and 0.86 respectively, the AUC of the high, medium and low risk groups in the validation set was 0.74, 0.78 and 0.81 respectively, and the AUC of the high, medium and low risk groups in the test set was 0.72, 0.74 and 0.75 respectively. Conclusions The deep learning model based on multiple sequence MRI provides auxiliary support for survival prediction of patients with glioma, and supplies quantitative information for doctors in clinical diagnosis and prognosis prediction, which has important scientific value and clinical significance. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.004 ^,s Hospital from April 2022 to October 2022 were collected, and their radiomic features were extracted using relevant software. Least absolute shrinkage and selection operator (LASSO) regression analysis and SelectKBest were used for feature screening. The support vector machine (SVM) algorithm was used to build the prediction model and its performance was evaluated by the receiver operating characteristic (ROC) curve. Bootstrap (1000 samples) and calibration curve were used for the validation of the model. Results The 3D-UTE radiomic model established by the SVM algorithm was able to better predict lymph node metastasis in NSCLC patients with an area under the curve (AUC) of 0.89 [95% confidence interval (CI): 0.77-0.96], sensitivity of 88.00% and specificity of 86.96%. The predictive model still had high diagnostic performance in Bootstrap-based validation with an AUC of 0.87 (95% CI: 0.85-0.89); the calibration curve showed good agreement between the predicted and actual observed values of the model. Conclusions The 3D-UTE radiomics model based on the SVM algorithm can be used to assess whether lymph nodes are metastatic in NSCLC patients and is expected to provide a less radiation-burdensome option for patients with associated NSCLC. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.005 ^,s Hospital from January 2017 to December 2020 were retrospectively analyzed. A total of 356 patients aged 26 to 82 (49.17±10.75) years were enrolled, which were randomly divided into the training set (n=284) and test set (n=72) according to the ratio of 8∶2. The radiomics features of phase 3 images in the DCE-T1WI sequence were extracted, and the quantitative radiomics features having strong correlation with ALN metastasis were selected using Mann-Whitney U test, Z-score normalization, variance threshold, K-best and least absolute shrinkage and selection operator (LASSO) regression methods. A variety of classifier algorithms were used to construct radiomics labels in a permutation-combination way. The area under the curve (AUC), sensitivity, specificity and accuracy of receiver operating characteristic curve (ROC) were used to evaluate the efficiency of the model, then the optimal prediction model was selected according to the efficiency. Results Among 356 patients with breast cancer, 117 patients (32.9%, 117/356) had ALN metastasis and 239 patients (67.1%, 239/356) had no ALN metastasis. There was a statistically significant difference in HER-2 positive expression between the ALN metastasis group and non-metastasis group (χ²=5.433, P=0.020), and there was no statistically significant differences in the other clinicopathological indicators between the two groups (P＞0.05).There was no statistically significant differences in clinicopathological indicators between the training set and the test set (P＞0.05). A total of 18 radiomics features having strong correlation with ALN metastasis were selected finally from the initial 643 radiomics features, including each 6 morphological features, first order features and texture features respectively. The optimal ALN prediction model was selected through radiomics signatures based on maximum absolute value normalization and Bagging decision tree algorithm, and the AUC value, sensitivity, specificity and accuracy of the model in the training set and test set were 0.929 [95% confidence interval (CI): 0.897-0.960], 69.9%, 96.9%, 88.0% and 0.803 (95% CI: 0.701-0.905), 75.0%, 75.0% and 75.0% respectively. Conclusions The prediction model based on DCE-MRI radiomics features could be helpful for preoperative predicting ALN metastasis in breast cancer. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.006 ^,s Hospital from February 2012 to August 2020 were retrospectively analyzed. Pathologic findings of surgical specimens were used as the gold standard to classify the tumor regression patterns into concentric and non-concentric shrinkage. The training cohort (n=294) and the validation cohort (n=126) were divided into 7∶3 according to the chronological order of MRI examinations. In the 2^nd phase images of dynamic contrast-enhanced MRI, the regions of interest (ROI) were delineated and the radiomics features of the ROI were extracted. Two independent-samples t test or Mann-Whitney U test, correlation analysis, least absolute shrinkage and selection operator (LASSO)-logistic regression were used for dimension reduction of radiomics features and artificial neural networks were used to establish a radiomics signature. Clinical prediction models were constructed by screening the significant clinicopathological features by univariate and multifactorial logistic regression. In addition, a predictive model combining qualitative image features, clinicopathologic features and radiomics signatures was constructed. The performance of the model was assessed using the receiver operating characteristic (ROC) curves and calibration curves. The decision curve analysis (DCA) was conducted to assess the clinical use of these predictive models. Results Eight radiomics signatures significantly correlated with tumor regression patterns were selected. In the training cohort and validation cohort, the radiomics signature yielded an area under curve (AUC) value of 0.738 (95% CI: 0.705-0.754) and 0.696 (95% CI: 0.585-0.712), respectively; the clinical predictive model yielded an AUC value of 0.676 (95% CI: 0.636-0.741) and 0.619 (95% CI: 0.601-0.716), respectively; the combined predictive model yielded an AUC value of 0.802 (95% CI: 0.753-0.824) and 0.764 (95% CI: 0.685-0.820), respectively. DCA showed the clinical use of the combined predictive models. Conclusions Prediction models combining pretreatment MRI-based quantitative radiomics and qualitative MRI image features and clinicopathologic information are useful for predicting tumor regression pattern in breast cancer, which can assist in selecting patients who can benefit from NAC for de-escalation of breast surgery, in order to optimize the individualized diagnosis as well as treatment plan, and improve the prognosis of patients. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.007 ^,s disease (AD) with T1 and T2 weighted ratio. Materials and Methods Based on conventional T1WI and T2WI images, the T1 and T2 weighted ratio mapping was calculated by external calibration methods. The mean T1 and T2 weighted ratio of 20 white matter fiber tracts were extracted. The changes of white matter fibers myelination of 26 patients with AD and 34 healthy control (HC) subjects were compared. The Mini-Mental State Examination (MMSE) was used to evaluate the impairment of intelligence and cognitive function. Two independent samples t-test and Mann-Whitney U test were used to compare the T1 and T2 weighted ratio of white matter fiber tracts between the AD and HC group. Spearman correlation analysis was performed between the T1 and T2 weighted ratio and MMSE scores in AD patients. Results Compared with HC group, the T1 and T2 weighted ratio in AD group showed significant differences in corticospinal tract (CST), cingulum (cingulate gyrus) (CgC), superior longitudinal fasciculus (SLF), right inferior fronto-occipital fasciculus (IFOF), right inferior longitudinal fasciculus (ILF) (P＜0.05). There was no significant correlation between the T1 and T2 weighted ratio and MMSE score in AD patients (P＞0.05). Conclusions The T1 and T2 weighted ratio is a clinically feasible, simple, rapid and non-invasive myelin imaging method. It is a promising candidate index to evaluate the changes of white matter fibers myelination of AD patients, and provides a new idea for the study of the white matter of AD patients. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.008 U to analyze the abnormal characteristics of young male military depressed patients at different scales and the correlations between them and the military psychological data scoring variables. Results (1) On the voxel scale, the amplitude of low-frequency fluctuations (ALFF) in the bilateral lingual gyrus and right frontal superior gyrus, the fractional amplitude of low-frequency fluctuations (fALFF) in the bilateral lingual gyrus and left fusiform, and the functional connectivity strength (FCS) in the left superior temporal lobe were significantly reduced in military depressed patients (P＜0.05); the right paracentral lobule ALFF values, fALFF values of the left frontal middle gyrus and right frontal superior gyrus,and FCS of the left precuneus were significantly higher (P＜0.05). (2) At the brain region scale, patients with major depressive disorder in the military had significantly increased (P＜0.05) betweenness centrality in the right inferior temporal gyrus, degree centrality in the right precuneus and nodal shortest path in the cerebellar vermis; degree centrality, nodal clustering coefficient, and nodal local efficiency in the right inferior temporal gyrus, degree centrality and nodal efficiency in the cerebelum area and nodal local efficiency in the right inferior occipital gyrus were significantly reduced (P＜0.05). (3) At the brain network scale, abnormalities in military depressed patients were found across multiple brain networks, with the default mode network (DMN) and the visual network (VN) showing the most variation. (4) Behavioural correlation analysis revealed that functional characteristics such as ALFF, FCS, degree centrality, nodal efficiency and nodal shortest path in brain regions such as the DMN, VN and cerebellum were significantly correlated with military psychological data variables (P＜0.05). Conclusions This study reveals the characteristics of abnormal changes in brain function at multiple scales, from local to global, in young military patients with depression and uncovers abnormal regions significantly associated with clinical scores. This finding provides results to support further understanding of the pathogenesis of depression in the young male military population. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.009 P=0.001, P＜0.05) and lower Eg (P=0.015, P＜0.05) values were found in MVA survivors as compared with those in control group. There were no statistically significant group differences in Cp、γ、λ、σ　and Eloc (P＞0.05). MVA survivors showed increased nodal centralities in bilateral inferior occipital gyrus (Left, P=0.020; Right, P=0.040; P＜0.05, FDR correction). There was no significant relationship between topologic properties and anxiety scores. Conclusions These results indicate the functional brain network of MVA survivors exhibit small⁃worldness, but altered global and nodal topological properties shortly after acute stress. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.010 n=21), high perfusion at later stage group (G2, n=8) and no- high perfusion group (G3, n=6) based on the ASL [inversion time (TI)=1500 ms, 2510 ms] imaging features of the infarct lesions. Collateral circulation was divided into good collateral circulation (grade 3-4) and poor collateral circulation (grade 0-2) according to the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR). The prognosis was divided into good outcome (≤2 points) and poor outcome (＞2 points) according to modified Rankin Scale (mRS) at 3-month follow-up. The differences of collateral circulation and prognosis among three groups were analyzed using statistical methods. Results Compared with G3, G1 and G2 had lower National Institutes of Health Stroke Scale (NIHSS) score, better collateral circulation and good outcome. There was no significant difference in the collateral circulation between G1 and G2 (100.00% vs. 83.33%; P=0.180), while the rate of good outcome in G1 was significantly higher than that in G2 (100.00% vs. 50.00%; P=0.013). Spearman correlation analysis showed that G1, G2, G3 were positively correlated with collateral circulation grade (r=0.720; P＜0.001), and negatively correlated with prognosis mRS score (r=-0.843; P＜0.001). Conclusions ASL imaging with double inversion time could effectively evaluate the collateral circulation and prognosis of AIS patients, and provide vital evidence for therapeutic decision-making. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.011 n=151) and testing set (n=38) in the ratio of 8∶2. The features were extracted from the region of interest (ROI) of the patient^,s lesion using traditional radiomics model and the DenseNet169 network model, then the traditional radiomics features were further filtered using Spearman correlation coefficient and the least absolute shrinkage and selection operator (LASSO) algorithm. Finally, the SVM-integrated classification model was constructed using the fused feature set. The macro-averaging method was used to plot the diagnostic effect of the integrated model using the receiver operating characteristic (ROC) curve. Results The traditional imaging histology features of three molecular subtypes of breast cancer were filtered to obtain 51, 49, and 20 feature labels, which were fused and modeled with 1664 features extracted by convolutional neural networks, respectively. The area under the curve (AUC) value of the classifier constructed by Luminal and HER-2 overexpression type was 0.880 [95% confidence interval (CI):0.814-0.946], the AUC value of the classifier constructed by Luminal and triple-negative type was 0.861 (95% CI: 0.791-0.931), and the AUC value of the classifier constructed by HER-2 overexpression type and triple-negative type was 0.696 (95% CI: 0.571-0.822). The AUC value of the SVM integrated model consisting of three binary classifiers was 0.820 (95% CI: 0.725-0.915). Conclusions The integrated SVM model based on feature fusion showed good results in classifying three molecular subtypes of breast cancer, which is an important guide for the preoperative classification of molecular subtypes of breast cancer. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.012 * values derived from mDixon-Quant imaging with pathological histological grade and prognostic factors of invasive breast carcinoma of the breast. Materials and Methods A total of 88 cases of invasive ductal carcinoma of the breast confirmed by pathology were retrospective analyzed (57 low-grade cases and 31 high-grade cases). The mDixon-Quant scanning was performed before operation, the FF, T2^* values and basic clinical information including with age, menopausal status, tumor size, tumor type, body mass index (BMI), amount of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE) between the two groups. The FF and T2^* values were compared with some prognostic pathological features such as histological grade, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), Ki-67 and molecular typing of breast cancer. The Mann-Whitney U test or t test was used for continuous variables; R×C χ² test was used for categorical variables; Spearman rank correlation test was used for correlation test. The Receiving operator characteristic (ROC) curve was plotted and the area under curve (AUC) was calculated to compare the diagnostic performance. Results Finally, 88 lesions of 88 patients with invasive ductal carcinoma of the breast (mean age 48.93±9.49, range 31-68 years) were included, and FF and T2^* values were measured with good inter- and intra-observer agreement with intra-class correlation coefficients (ICC) of 0.964 and 0.909, respectively. The study found that there was no statistical significance between the two groups in age, menopause situation, tumor size, maximum diameter of the lesion, tumor type, FGT, and BPE of breast parenchyma. Both FF and T2^* values were statistically significant between the two groups of different histological grades (P＜0.001). Compared with the low-grade group, the high-grade group had a smaller FF value (5.06%±2.56% vs. 8.33%±3.92%). FF value was negatively correlated with histological grade (r=-0.406, P＜0.001).The T2^* value of the high-grade group was higher than that of the low-grade group [(29.94±8.55) ms vs. (22.85±5.39) ms]. T2^* value was positively correlated with histological grade (r=0.397, P＜0.001). The AUC was 0.738 and 0.748 for FF value and T2^* value to predict histological grade, respectively. The combined diagnostic AUC of FF and T2^* values was 0.797, but there was no statistically significant difference with the diagnostic performance of a single parameter. There was a statistically significant difference in FF values in the distribution between different ER and molecular typing groups (P=0.038 and 0.005). FF values were positively correlated with ER (P=0.037) but not with PR, Ki-67, HER-2 and molecular typing (all P＞0.05). T2^* values were statistically significantly different between ER, PR, Ki-67 and molecular typing groups (all P＜0.05). In addition, it was negatively correlated with ER and PR (P＜0.001 and P=0.003), and positively correlated with Ki-67 and molecular typing (all P＜0.001). Conclusions FF and T2^* values derived from mDixon-Quant were independent predictors of histological grade of invasive ductal carcinoma of the breast, and the combination of the two parameter values helped to improve the specificity of the diagnosis and correlated with prognostic pathological features. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.013 p/t, MK_p/t, MD_p/t, peritumoral and contralateral normal glands MTRasym_p/n, MK_p/n, MD_p/n of each parameter were calculated respectively, and compared differences among groups of different pathological factors. Results The MK value of the malignant group was higher than that of the benign group, and the ADC, MD and MTRasym values were lower than those of the benign group, and the differences were statistically significant (P＜0.05). The area under the curves (AUCs) of ADC, MK, MD, MTRasym, DCE, DCE+ADC, DCE+ADC+DKI+APT in diagnosing benign and malignant breast lesions were 0.819, 0.914, 0.895, 0.752, 0.744, 0.886, 0.985. The AUCs of MK and MD were significantly higher than that of DCE, the AUC of MK was significantly higher than that of MTRasym, the AUC of DCE+ADC+DKI+APT were significantly higher than that of other parameters (P＜0.05). The results of peritumoral parameter analysis showed that MK_p/t has weak negative correlation with HER-2 state (r=-0.365, P=0.043), MK_p/t has moderate negative correlation with Ki-67 expression (r=-0.404, P=0.024), MD_p/t has moderate positive correlation with Ki-67 expression (r=0.420, P=0.019), MK_p/n has weak positive correlation with lymphatic vascular invasion (LVI) (r=0.382, P=0.034), MD_p/n has weak negative correlation with LVI (r=-0.373, P=0.039), MK_p/n has weak positive correlation with histological grade (r=0.376, P=0.043). Conclusions Both APT and DKI showed high diagnostic efficiency in differentiating benign and malignant breast lesions, and the diagnostic efficiency of multi-parameter combined application was significantly improved. DKI parameters can indicate the impact of breast cancer with different pathological factors on the peritumoral area. Therefore, APT and DKI technology can provide assistance for the diagnosis of breast cancer, the assessment of tumor invasiveness and the formulation of treatment plan. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.014 n=126) and a test set (n=54) in a ratio of 7∶3. Firstly, the region of interest (ROI) was outlined at the largest level of the DCE-MRI stage 2 lesion with a conformal outreach of 6 mm, and the optimal ROI was selected by regression with the least absolute shrinkage and selection operator (LASSO). The intra-tumoural, peri-tumoural and intra+peri-tumoural radiomics scores (Rad-score) were obtained by support vector machine (SVM) to construct the intra-tumour, peri-tumour and intra+peri-tumour models respectively. The clinical model was constructed by screening clinical risk factors through single-multifactor logistic regressionby, and the most effective intra+peri-tumoural Rad-score combined with the clinical risk factors was selected to construct the radiomics nomogram. The predictive performance of each model was analyzed using the receiver operating characteristic (ROC) curve and the correspongding area under the curve (AUC) was calculated. The clinical practicability of the prediction models was assessed using calibration curves. Results The nomogram model has the best diagnostic performance. And the AUC, sensitivity, specificity, and accuracy of the nomogram model was 0.945, 87.5%, 93.0%, 92.6% for the training set and 0.942, 90.9%, 90.6%, 90.2% for the test set respectively. Conclusions The nomogram model is essential in the preoperative prediction of ALN metastasis in breast cancer, which can precisely and non-invasively provide important guidance for clinical decision-making in a scientific and non-invasive manner. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.015 ^,s t test or Mann-Whitney U test was applied for comparison between the two groups, and Spearman rank correlation analysis was used for correlation analysis. P＜0.05 were considered statistically significant. Results Compared with the control group, the uncomplicated obesity subjects had higher left and right ventricular EDV, ESV, LVmass, LVmassi and EAT area (all P＜0.05), but there was no significant difference in EDVi, ESVi and EF between the two groups. Meanwhile, the left and right ventricular global PRS, PCS, PRSR-S, PRSR-D, PCSR-D, PLSR-D and the left ventricular global PLS and PLSR-S were significantly decreased in obese group (all P＜0.05). The left and right ventricular EDV, ESV and LVmass were positively correlated with BMI and EAT area (all P＜0.001). The left and right ventricular global PRS, PCS, PRSR-S, PRSR-D, PCSR-D, PLSR-D and the left ventricular global PLS, PLSR-S were negatively correlated with BMI (all P＜0.05). The left and right ventricular global PCS, PLSR-S, PRSR-D, PCSR-D and the left ventricular PRS, PLS, PRSR-S, PLSR-D and were negatively correlated with EAT area (all P＜0.05). Conclusions The changes of left and right ventricular structure and subclinical function in uncomplicated obesity subjects were associated with BMI and EAT area. CMR-FT can evaluate the early changes of ventricular myocardial function in uncomplicated obesity subjects. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.016 S-W test to obtain variables that do not obey normal distribution: LDVM, LVM, PET, sESV, sDVM, BSA (P＜0.05); Wilcoxon rank sum test is performed for variables that do not obey normal distribution; other variables are poor values follow a normal distribution row paired samples t-test. Results The left ventricular function parameters of EDV, ESV and SV before CABG were higher than those after operation [(141.38±44.75) mL, (65.64±36.13) mL, (75.74±16.95) mL vs. (120.54±40.37) mL, (56.16±29.37) mL, (64.38±16.98) mL, P＜0.05]; LVM before operation was greater than that after operation [132.40 (114.96, 160.82) g vs. 126.78 (100.31, 152.28) g, P＜0.05]; HR before CABG was lower than that after operation [(64.19±13.43) beats/min vs. (70.81±12.21) beats/min, P＜0.05]; the cardiac filling and ejection data before CABG PER and PFR were lower than those after CABG [(-364.63±78.34) mL/s, (336.56±98.13) mL/s vs. (-333.80±62.76) mL/s, (301.44±76.03) mL/s, P＜0.05]; the standardized indexes of left ventricle sEDV, sSV, sPER, sPFR before CABG were lower than those after CABG [(76.66±18.79) mL/m², (41.65±8.89) mL/m², (-200.64±41.24) mL/s/m², (183.94±45.73) mL/s/m² vs. (65.88±18.93) mL/m², (35.32±8.49) mL/m², (-184.17±32.19) mL/s/m², (162.73±31.02) mL/s/m², P＜0.05], sESV before operation was higher than after operation [30.76 (20.95, 45.23) mL/m² vs. 29.18 (19.52, 38.69) mL/m², P＜0.05], the differences were statistically significant. The remaining parameters showed no statistically significant preoperative and postoperative differences. Conclusions CMR parameters have obvious research significance for on the changes of cardiac function before and after CABG, and provide guidance for clinical diagnosis and treatment of CHD. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.017 P＞0.05). There were no significant differences in the sharpness and visibility of the obstruction lesions among the three sequences (P＞0.05). The sensitivity, specificity, and accuracy of both BH-CS-MRCP and NT-CS-MRCP in the diagnosis of benign and malignant common bile duct obstruction were 84.21%, 91.84%, and 89.71%, respectively. The sensitivity, specificity, and accuracy of T-MRCP were 84.21%, 89.58%, and 86.76%. Conclusions Compared with T-MRCP, BH-CS-MRCP and NT-CS-MRCP can acquire comparable image quality and better differential diagnostic efficiency of benign and malignant of common bile duct obstruction in a shorter time. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.018 t-test or Mann-Whitney U-test. Binary logistic regression analysis was used for multi-parameter joint analysis and receiver operating characteristics (ROC) analysis was used to evaluate the diagnostic efficiency of each parameter and their combinations in distinguishing the early from advanced SCC. The DeLong test was used to compare the significant differences between the area under the curve (AUC) of each parameter and their combinations. Results The f_B was the highest in advanced SCC and f_C was the highest in early SCC. The ADC and f_C in the advanced group were significantly lower than those in the early group, while the f_B was significantly higher (P＜0.05). Among single parameters, the f_B showed the highest diagnostic efficiency with the AUC (0.818), followed by f_C (0.809) and ADC (0.773). By combining the fractions of six compartments compartments (f_A-f_F), the AUC value was improved to 0.973, which was higher than that of ADC combined with T2 (0.809) and significantly better than that of ADC (0.773) and T2 (0.790) alone (P＜0.05). Conclusions The quantitative parameters of the DR-CSI technique can discriminate early and advanced stage SCC, with better diagnostic performance than conventional ADC and T2, and the combination of multiple parameters is beneficial to improve the differential diagnostic efficacy. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.019 *-FFE) in fetal spinal anatomy and vertebral deformity. Materials and Methods Fourty-six middle and late pregnant women, whose prenatal ultrasound showed abnormal fetal vertebral bodies or unclear spine parts, were consecutively enrolled. All fetuses underwent corresponding spinal MRI examination on a 3 T MR with a 16-channel body matrix coil. The scanning MR sequences included 3D-T2^*-FFE, two-dimensional single shot fast spin echo (2D SSH TSE) and two-dimensional balance turbo fast field echo (2D BTFE), region of interest (ROI) was carefully delineated for all cases to calculate the signal difference ratio of the corresponding vertebral bodies and intervertebral discs in the cervical, thoracic and lumbar segments with the three sequences respectively to evaluate image contrast. Results Compared with 2D SSH TSE sequence and 2D BTFE sequence, 3D-T2^*-FFE sequence could obtain better image quality of fetal cervical vertebra. The image quality of 2D BTFE and 3D-T2^*-FFE sequence was superior to that of 2D SSH TSE sequence in fetal thoracic vertebra and lumbosacral vertebra. The signal difference ratio values of 3D-T2^*-FFE and 2D BTFE sequences were higher than those of 2D SSH TSE sequences, and the difference was statistically significant (P＜0.05); The signal difference ratio values of thoracic vertebra and lumbar vertebra showed no significant difference in each sequence (P＞0.05). Conclusions 3D-T2^*-FFE sequences have better imaging effects on fetal vertebra under 3 T MRI, but 3D-T2^*-FFE sequences can display more anatomical details of the spine. It is not affected by fetal position, and the scanning time is short, so it can be used as an important complementary sequence in clinical MRI of fetal spine. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.020 r=0.678, 0.674, 0.466, P＜0.05) and articular cartilage score (r=0.590, 0.672, 0.424, P＜0.05); T2 values of sartorius and vastus medialis were positively correlated with subarticular bone marrow edema (r=0.527, 0.538, P＜0.05). Hemiembranial muscle T2 value was positively correlated with articular cartilage score (r=0.347, P＜0.05). Conclusions MR T2 mapping can sensitively and quantitatively assess the muscle changes around the knee in patients with KOA. As the severity of KOA increases, T2 values in some muscles increase. T2 value of skeletal muscle can be used as a sensitive index to reflect the changes of internal structure and composition of skeletal muscle in KOA patients. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.021 0 (the previous follow-up before receiving TKR was termed as T₀). According to the MRI Osteoarthritis Knee Score (MOAKS), effusion-synovitis and Hoffa-synovitis were scored semi-quantitatively. Conditional logistic regression estimated the correlation between BMI and TKR. Mediation analysis was used to evaluate the mediating effects of synovitis. Results The mean age of participants included for the study at baseline was (65.0±9.0) years, 59.2% were female, and 84.9% were White. The prevalence of effusion synovitis and Hoffa-synovitis at baseline and at T₀ was higher in the case group than in the control group. Only at T₀, there was a statistically significant associations between BMI with prevalence (χ²=9.173, P=0.010) and score (χ²=22.371, P=0.001) of effusion synovitis. After controlling for prior knee injury, BMI was associated with the risk of TKR (OR=1.121, 95% CI: 1.070-1.175, P＜0.001); effusion synovitis at T₀ had a significant mediating effect on BMI and TKR, indirect effect coefficient was 0.0298 (95% CI: 0.0132-0.0506), and the mediating contribution rate was 22.61%. Conclusions Our study is the first to indicate that effusion synovitis at T₀ mediated the association between BMI and the risk of TKR. Attaching importance to MRI accurate evaluation and timely intervention of effusion synovitis in overweight or obese people is helpful to guide clinical practice to reduce the risk of TKR within the next year. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.022 n=45) and observation group (n=45) by random number table method. The control group was given symptomatic treatment, health guidance and routine memory function training, while the observation group was treated with high-frequency rTMS on the basis of the control group. Before and 4 weeks after treatment, the memory function of 2 groups was measured by Rivermead Behavioural Memory Test -Ⅱ (RBMT-Ⅱ), and fMRI scan was performed during the test. The quality of life of patients was assessed by generic quality of life inventory (GQOL-74). Results After 4 weeks of treatment, compared with the control group, the observation group recorded first and last name (t=2.802, P=0.006), stored items (t=2.091, P=0.039), convention (t=2.172, P=0.033), and picture recognition (t=2.174, P=0.032), face recognition (t=2.191, P=0.031), orientation and date (t=3.096, P=0.003), letter immediate recall (t=2.293, P=0.024), story immediate recall (t=2.075, P=0.041) and route immediate recall (t=2.300, P=0.024) scores were higher, and the fMRI amplitude of low frequency fluctuations (ALFF) value in the observation group was higher than that in the control group (t=9.877, P＜0.001). After 4 weeks of treatment, the number of activated brain areas in the observation group was higher than that in the control group, and the score of GQOL-74 questionnaire was higher than that in the control group [physical health (t=3.338, P=0.001), social function (t=3.400, P=0.001), mental health (t=2.221, P=0.029), material life (t=2.298, P=0.024)]. Conclusions High frequency rTMS therapy can improve memory function of senile stroke patients with memory dysfunction and improve their quality of life. The fMRI technique was used to prove that its mechanism of action may be related to the enhancement of regional blood flow and nerve activity intensity. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.023 Z=5.046, P=0.023) and modified MRI-DRAGON score (Z=-4.429, P＜0.001) between two groups. Logistic regression analysis showed that the modified MRI-DRAGON score was significantly higher than MRI-DRAGON score [0.87 (95% CI: 0.78-0.90) vs. 0.77 (95% CI: 0.65-0.81)] in predicting poor outcome of stroke. ROC curve showed that the area under the curve of modified MRI-DRAGON score was significantly higher than that of MRI-DRAGON score in predicting poor outcome of stroke (0.889 vs. 0.757; Z=-2.294, P=0.022), and its sensitivity and specificity reached 91.3% and 87.3%, respectively. Conclusions Comparing with the traditional MRI-DRAGON score, the modified MRI-DRAGON score can more effectively predict the clinical outcome of patients with acute ischemic stroke at 3 months after endovascular treatment. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.026 ^,s physical and mental health and quality of life.Acupuncture has the advantage of being safe, non-toxic and cost-effective in the management of insomnia with mood disorders, but its central mechanism is not yet clear. In recent years, advances in functional magnetic resonance imaging (fMRI) have helped to objectively assess the efficacy of acupuncture in the treatment of insomnia with mood disorders.It has also provided an opportunity to explore the central mechanisms of acupuncture in the treatment of insomnia with mood disorders.In this paper, we review the relevant domestic and international literature in recent years to explore the central response characteristics of acupuncture on brain structure and brain function in patients with insomnia with mood disorders.To better understand the current state of neuroimaging research on the therapeutic mechanisms of acupuncture for insomnia with mood disorders, and to provide reference and input for future research. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.027 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.028 ^,s daily life and also brings a heavy burden to the family, society and economy. At present, the pathogenesis of poststroke aphasia remains elusive. The rest-state functional MRI (rs-fMRI) can not only reflect the patient^,s brain function, brain tissue metabolism, and the level of brain local blood flow, but does not require the patient to perform specific language tasks, it is simple and easy, and the patient^,s compliance is good. So it is an important tool to explore the pathogenesis of poststroke aphasia. With the continuous development and innovation of imaging technology, rs-fMRI will play a more important role in the individualized diagnosis, evaluation and rehabilitation of patients with post-stroke aphasia. This article reviewed the research progress of rs-fMRI in poststroke aphasia, aiming to provide new ideas for the elucidating of the pathogenesis of aphasia after stroke and the formulation of language function recovery programs for patients. ]]> Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.029 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.030 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.031 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.032 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.033 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.034 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.035 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.036 Mon,20 Mar 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.03.037 Mon,20 Mar 2023 00:00:00 GMT